Microsoft-backed OpenAI also wants its models to conduct research, browsing the web autonomously with the help of a “CUA”, or computer-controlled agent, that can take action based on its findings .
The company that develops ChatGPT is working on a new approach to its artificial intelligence models in a project codenamed “Strawberry,” Reuters previously reported.
It’s a new model that will allow the company’s AI to not just generate answers to questions, but to plan ahead enough to navigate the web autonomously and reliably to perform what OpenAI calls “deep research.”
While large language models can already summarize dense texts and compose elegant prose much faster than any human, the technology often falls short of common sense problems whose solutions seem intuitive to humans, such as recognizing logical fallacies and playing you trill
When the model faces these kinds of problems, it often has what are called “hallucinations,” that is, it creates information that doesn’t exist.
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**Interview with Dr. Emma Thompson, AI Researcher at OpenAI**
**Interviewer:** Dr. Thompson, thank you for joining us today. Let’s dive straight into it. OpenAI’s new project codenamed “Strawberry” aims to empower AI models to conduct research autonomously by browsing the web. How do you perceive the potential implications of such technology in terms of accuracy and reliability?
**Dr. Emma Thompson:** Thank you for having me. The “Strawberry” project is indeed a significant advancement. While the ability for AI to perform deep research autonomously could radically enhance information retrieval and processing, we must remain vigilant about the quality of information it encounters online. There’s a real risk of “hallucinations,” where the AI might fabricate details due to a lack of understanding, which could lead to the propagation of misinformation.
**Interviewer:** That’s an important point. With this kind of technology, do you think we risk becoming overly reliant on AI for critical information, potentially undermining human judgment in evaluating sources?
**Dr. Emma Thompson:** Absolutely, that’s a valid concern. The ease of access to research through AI could lead some individuals to trust the results without questioning them. It’s crucial for us to promote AI literacy so that users understand the strengths and limitations of these systems. This debate raises the question: Should there be strict guidelines on how we integrate AI research tools, or would that stifle innovation?
**Interviewer:** A thought-provoking question, indeed! On one hand, there’s the vision of enhanced productivity and efficient research processes. On the other, we must weigh the importance of maintaining control over information accuracy. How do you envision finding a balance between empowering AI and ensuring accountability?
**Dr. Emma Thompson:** It’s a delicate balance. We need to establish oversight mechanisms that ensure AI outputs are checked against factual databases, potentially integrating human verification at critical points. Encouraging a collaborative approach between AI and human researchers could be essential in navigating this future landscape.
**Interviewer:** As we wrap up, I’d like to pose this to our readers: Do you believe we should embrace the autonomy of AI models like those being developed in the “Strawberry” project, or do you think it’s too risky given the potential for misinformation? We’d love to hear your thoughts in the comments below! Thank you, Dr. Thompson, for shedding light on these critical issues.
